TurboGist – Real time code sharing without leaving your editor

Hacker News

*Please try and read this if you're a developer, if you're not you can still try that out!!* As a developer, I work within a team to build software. However, when I wanted to share a piece of code with my team members or ask for any suggestions on any business logic, classes, or functions, I needed to copy the code and send it via Microsoft Teams and Slack. I was thinking what if I could share that piece of code using my code editor that doesn't need to switch between screens which is clunky and time-consuming? That was the actual pain point and motivation to build Turbogist, which lets you share codes in real time with others. Right now I only created the extension for VS Code and am working on building a plugin for JetBrains as well. First thing first, I want to validate the idea. However, I have some plans to add some additional features that will integrate a seamless snippet and code sharing by integrating GitHub Gists or Pastebin-like services. You can try out the extension and see the tool in action by visiting the landing page and joining the beta. Looking for your input on: - How this would fit your workflow? - Must-have features or integrations (e.g., GitHub Gist, PasteBin, etc.)? - Pain points in your current code-sharing process? Thank you for checking this out, looking forward to your feedback!

Visit product View on Hacker NewsDec 21, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, using, code · Missing: mac, agents, macos

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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